code: def test_main_is_train(self):
      X, y = self.extraction.return_train_dataset()
      assert X.shape == (1797, 64)
      assert y.shape == (1797,)
  
file_path: xcessiv/xcessiv/tests/test_models.py
imports: from __future__ import absolute_import, print_function, division, unicode_literals
  import unittest
  from xcessiv import models
  from sklearn.ensemble import RandomForestClassifier
label_desc: Use image node_id 2 for calling the TestReturnTrainDataFromJSON obj's underlying member method code with example usage: obj.test_main_is_train() without return types